In practical terms, this concept of generalisation as being
grounded in relations of similarity underlies a variety of
machine learning techniques such as
k-nearest-neighbour classification [1]}
and kernel machines [2]}.
As previously discussed, the view that
the abilities of artificial neural networks
are also limited to generalisation between similar items,
in the sense of sharing overlapping features,
has been a common assumption among both
supporters and critics of connectionist modelling
[3]}, [4]}, [5]}.
